Enterprise MQTT solutions company HiveMQ has launched HiveMQ Pulse, a next-generation distributed data intelligence platform that offers a flexible architecture to support a unified namespace (UNS) approach.

“At HiveMQ, we see our customers increasingly challenged by the need to unify diverse data sources across their organisations, yet lacking the tools to do so effectively,” said Dominik Obermaier, co-founder and CEO of HiveMQ. “Our new platform provides a way to standardise and integrate data seamlessly, allowing organisations to generate real-time insights while maintaining centralised governance and scalable data operations.”
HiveMQ Pulse
HiveMQ Pulse, our innovative solution, empowers organisations to manage, transform, govern, and derive insights from distributed devices and systems. It offers a unique single, structured view of operational data across the enterprise, setting it apart from other platforms.
It claims to provide a unified data management platform for data cataloguing, transformation, and governance to establish and standardise context across the enterprise.
With HiveMQ Pulse, real-time actionable insights become a reality, enabling organisations to work on data in motion for contextualisation and better decision-making.
HiveMQ Pulse, with its distributed intelligence, enables decision-making at the data source for immediate impact. The addition of AI/ML models further enhances this capability, allowing organisations to make complex decisions with confidence.
HiveMQ Pulse claims to efficiently move data from edge to cloud to support real-time processing. It also features flexible data storage for historical analysis to facilitate rapid, informed decision-making.
With unified namespace tools, it aims to simplify integration through consistent, reusable data structures. Further, AI/ML integration enables predictive insights and smarter operations.
HiveMQ Pulse also includes a scalable event-driven streaming and in-flight data transformation to facilitate contextualised data where and when needed.